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- Tasks: Design and validate machine-learning models while preparing complex datasets in Snowflake.
- Company: Join a forward-thinking gaming technology company passionate about innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be part of an exciting team and make a real impact in the gaming industry.
- Qualifications: Relevant degree and experience with Snowflake and Python required.
- Other info: 1-year contract with potential for career advancement.
The predicted salary is between 50000 - 70000 £ per year.
A gaming technology company is looking to hire a data-centric professional to design and validate machine-learning models, prepare complex datasets within Snowflake, and implement MLOps automation. The ideal candidate possesses strong analytical skills and experience deploying ML models in production. It’s a hybrid role based in the UK, and the candidate should have a relevant degree and expertise with tools like Snowflake and Python. This is an exciting opportunity to join a forward-thinking team passionate about innovation.
AI & MLOps Scientist (Hybrid, 1-Year Contract) employer: Push Gaming
Contact Detail:
Push Gaming Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & MLOps Scientist (Hybrid, 1-Year Contract)
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming tech industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine-learning models and MLOps projects. We recommend using platforms like GitHub to share your work; it’s a great way to demonstrate your expertise with tools like Snowflake and Python.
✨Tip Number 3
Prepare for the interview by brushing up on your analytical skills and understanding of MLOps automation. We suggest practising common interview questions related to ML deployment and being ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our innovative team.
We think you need these skills to ace AI & MLOps Scientist (Hybrid, 1-Year Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine-learning models and tools like Snowflake and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about this role and how your analytical skills can contribute to our innovative team. Keep it engaging and personal – we love a good story!
Showcase Your Projects: If you've worked on any cool ML projects or MLOps automation, make sure to mention them! We’re keen to see real-world applications of your skills, so include links or descriptions that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Push Gaming
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, especially Snowflake and Python. Brush up on your knowledge of machine-learning models and MLOps automation, as you might be asked to discuss specific projects or challenges you've faced.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical skills. Think of situations where you’ve designed or validated ML models and how you approached complex datasets. Being able to articulate your thought process will impress the interviewers.
✨Understand the Company’s Vision
Research the gaming technology company and understand their products and innovations. This will help you align your answers with their goals and show that you’re genuinely interested in being part of their forward-thinking team.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about their current projects or challenges they face in deploying ML models. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.